HAL (France)
open access
PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Referring Image Segmentation through Multimodal Vision Language Learning#211400
- EmoLASP: Emotion Recognition with Language Models and Answer Set Programming#793259
- EmoLASP: Emotion Recognition with Language Models and Answer Set Programming#789255
- Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models#635812
- Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models#633463
Record · ID 417995
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive